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Specialized Analytics Senior Lead, SVP - Citi Commerce Audience Analytics and Targeting

Wilmington, DE, US; New York, NY, US

Live, first seen by us 87 days ago
Pay
$169,600–254,400/yearAnnual period assumed — pay source
## Primary Location Full Time Salary Range: $169,600.00 - $254,400.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
## Time Type: Full time \------------------------------------------------------
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • Build audience segments such as category, conquesting, loyalty and lifecycle

  • Develop targeting solutions and AI/ML models to drive customer engagement

  • Translate advertiser needs into audience requirements and segmentation

  • Build and integrate Gen AI capabilities to speed audience development

  • Partner with Finance and Product to forecast revenue and track actuals against forecast

From the employer’s posting
core use cases such as category, conquesting, loyalty, and lifecycle audiences
Develop targeting solutions and AI/ML models to drive customer engagement
Ability to translate advertiser needs into audience requirements & segmentation needs
Build and integrate Gen AI capabilities to accelerate audience development and insights generation
Partner with Finance and Product teams to forecast business growth and revenue on a granular basis and track actuals versus forecast

What you’ll bring

All qualifications

Core experience

  • Knowledge of key digital marketing KPIs (ROAS, Impressions, CTR, CPA etc.) * Advanced Analytics Skills: Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing).
  • Experience building audience segments using 1P data, behavioral signals, and transaction data * Strategic Thinking: Ability to connect analytical insights with business strategy, identifying opportunities and risks.
  • Ability to translate advertiser needs into audience requirements & segmentation needs * Leadership & Influence: Proven ability to lead projects, influence cross-functional teams, and drive strategic initiatives.
Qualification wording
* Minimum Experience: 10+ years of progressive experience in data analytics, business intelligence, or quantitative analysis within the financial services, digital media, marketing or retail industry. * Commerce Media Domain Expertise: Deep understanding of the commerce or retail media landscape, including audience capabilities, revenue streams, data strategy and commercialization strategy. * Digital Media and Marketing Expertise: Deep understanding of digital media and marketing ecosystem, including various marketing channels, media buy models, audience activation platforms (e.g., CDPs, clean room, DSP integrations). Knowledge of key digital marketing KPIs (ROAS, Impressions, CTR, CPA etc.) * Advanced Analytics Skills: Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing). Experience building audience segments using 1P data, behavioral signals, and transaction data * Strategic Thinking: Ability to connect analytical insights with business strategy, identifying opportunities and risks. * Communication Skills: Exceptional verbal and written communication skills, with the ability to articulate complex analytical concepts and present findings clearly and persuasively to both technical and non-technical audiences. Ability to translate advertiser needs into audience requirements & segmentation needs * Leadership & Influence: Proven ability to lead projects, influence cross-functional teams, and drive strategic initiatives. * Problem-Solving: Strong critical thinking and problem-solving abilities, with meticulous attention to detail. * Technical Proficiency: * Data Platforms: * Experience with large-scale data platforms and tools (e.g., Snowflake). * Experience working with first-party data and privacy-safe data environments (e.g., clean rooms, identity resolution) * Familiarity with audience activation platforms (e.g., CDPs, clean room, DSP integrations) * AI/ML skills: Hands-on experience on building AI/ML targeting solutions like regression and tree-based algorithms * Visualization Tools: Hands-on experience with business intelligence and data visualization tools (e.g., Tableau, Power BI, QlikView). * Preferred Skills:
Education & alternatives
Education: * Required: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline. * Preferred: Master's degree or PhD in a quantitative field, Business Analytics, or an MBA with a strong analytical focus. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Posting record

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Status in our records
Live
First seen by us
Aug 13, 202687 days ago
Recorded sightings
120
Last seen by us
Nov 8, 2026
Employer says posted
Jun 3, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$170K–$254K against $154K–$226K, the middle half of what similar US postings state.

From 3,007 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 87

Up longer than most. Similar jobs usually come down between day 7 and day 55.

Well past Citi’s usual: its jobs come down by about day 16.

From 8,398 similar postings that came down, and 1,282 of Citi’s. Coming down is not always a hire.

Citi is hiring

157 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 5% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • Power BI
  • Snowflake
  • Tableau
Where the posting names them
* Minimum Experience: 10+ years of progressive experience in data analytics, business intelligence, or quantitative analysis within the financial services, digital media, marketing or retail industry. * Commerce Media Domain Expertise: Deep understanding of the commerce or retail media landscape, including audience capabilities, revenue streams, data strategy and commercialization strategy. * Digital Media and Marketing Expertise: Deep understanding of digital media and marketing ecosystem, including various marketing channels, media buy models, audience activation platforms (e.g., CDPs, clean room, DSP integrations). Knowledge of key digital marketing KPIs (ROAS, Impressions, CTR, CPA etc.) * Advanced Analytics Skills: Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing). Experience building audience segments using 1P data, behavioral signals, and transaction data * Strategic Thinking: Ability to connect analytical insights with business strategy, identifying opportunities and risks. * Communication Skills: Exceptional verbal and written communication skills, with the ability to articulate complex analytical concepts and present findings clearly and persuasively to both technical and non-technical audiences. Ability to translate advertiser needs into audience requirements & segmentation needs * Leadership & Influence: Proven ability to lead projects, influence cross-functional teams, and drive strategic initiatives. * Problem-Solving: Strong critical thinking and problem-solving abilities, with meticulous attention to detail. * Technical Proficiency: * Data Platforms: * Experience with large-scale data platforms and tools (e.g., Snowflake). * Experience working with first-party data and privacy-safe data environments (e.g., clean rooms, identity resolution) * Familiarity with audience activation platforms (e.g., CDPs, clean room, DSP integrations) * AI/ML skills: Hands-on experience on building AI/ML targeting solutions like regression and tree-based algorithms * Visualization Tools: Hands-on experience with business intelligence and data visualization tools (e.g., Tableau, Power BI, QlikView). * Preferred Skills: * Experience with programming: proficiency in SQL, Python, or R for data manipulation, statistical analysis, and model development. * Experience with consumer banking products and customer lifecycle analytics. Education:
Qualifications: * Minimum Experience: 10+ years of progressive experience in data analytics, business intelligence, or quantitative analysis within the financial services, digital media, marketing or retail industry. * Commerce Media Domain Expertise: Deep understanding of the commerce or retail media landscape, including audience capabilities, revenue streams, data strategy and commercialization strategy. * Digital Media and Marketing Expertise: Deep understanding of digital media and marketing ecosystem, including various marketing channels, media buy models, audience activation platforms (e.g., CDPs, clean room, DSP integrations). Knowledge of key digital marketing KPIs (ROAS, Impressions, CTR, CPA etc.) * Advanced Analytics Skills: Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing). Experience building audience segments using 1P data, behavioral signals, and transaction data * Strategic Thinking: Ability to connect analytical insights with business strategy, identifying opportunities and risks. * Communication Skills: Exceptional verbal and written communication skills, with the ability to articulate complex analytical concepts and present findings clearly and persuasively to both technical and non-technical audiences. Ability to translate advertiser needs into audience requirements & segmentation needs * Leadership & Influence: Proven ability to lead projects, influence cross-functional teams, and drive strategic initiatives. * Problem-Solving: Strong critical thinking and problem-solving abilities, with meticulous attention to detail. * Technical Proficiency: * Data Platforms: * Experience with large-scale data platforms and tools (e.g., Snowflake). * Experience working with first-party data and privacy-safe data environments (e.g., clean rooms, identity resolution) * Familiarity with audience activation platforms (e.g., CDPs, clean room, DSP integrations) * AI/ML skills: Hands-on experience on building AI/ML targeting solutions like regression and tree-based algorithms * Visualization Tools: Hands-on experience with business intelligence and data visualization tools (e.g., Tableau, Power BI, QlikView). * Preferred Skills: * Experience with programming: proficiency in SQL, Python, or R for data manipulation, statistical analysis, and model development. * Experience with consumer banking products and customer lifecycle analytics.

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About Citi

People
About 226,000 in 2025.Annual report (SEC Form 10-K)
Company
Listed as C.
H-1B visas
1 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 785, the most 1,205, and the latest week had 831.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Citi is evolving its current commerce offerings and branching into new avenues of growth by offering merchants access to high value cardmembers across Citi’s digital properties and partner placements. By combining Citi’s scale, trusted customer relationships, and real purchase insights, the business delivers advertising that is relevant to customers and drives measurable, incremental impact for advertisers. We are seeking an experienced and highly skilled C14 Senior Analytics Lead to drive Audience Analytics & Targeting for the strategic Citi commerce function. This role will be critical in developing high quality targeted audiences to improve relevance and effectiveness of ads and offers in our Citi commerce business. This role will leverage data-driven insights to optimize targeting and personalization, enhance customer engagement, and identify new growth opportunities. The successful candidate will be responsible for leading a team or function focused on in-depth analysis of 1st, 2nd and 3rd party data and underlying customer behaviors as well as advertiser preferences to develop audiences. This position requires a deep understanding of the commerce media business, digital ecosystem, strong analytical capabilities, and the ability to translate complex data into actionable business strategies. Responsibilities: * Strategic Analytics Leadership: help drive business outcomes through advanced analytics, including but not limited to: * Drives analytics roadmap for audience development and targeting to improve ad and offer relevance for core use cases such as category, conquesting, loyalty, and lifecycle audiences * Analyze audience strategy for advertiser relevance to enhance our ability to pitch to various advertisers and meet their targeting needs * Generate insights on audience composition, behavior, and performance to inform go-to-market strategy * Help identify new audience offering and custom audience opportunities based on Citi data assets and campaign learnings * Provide strategic leadership to grow the Citi Commerce business through new analytical capabilities and advertisers * Develop targeting solutions and AI/ML models to drive customer engagement * Build and integrate Gen AI capabilities to accelerate audience development and insights generation * Partner with Finance and Product teams to forecast business growth and revenue on a granular basis and track actuals versus forecast * Work in a high performing team and develop team members to drive successful outcomes * Cross-Functional Collaboration: Partner closely with Product Development, Sales, Ad Ops, Analytics Measurement, Marketing, and Technology teams to integrate analytical insights into product design, marketing campaigns, and business development initiatives. * Risk and Controls Governance: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively Qualifications: * Minimum Experience: 10+ years of progressive experience in data analytics, business intelligence, or quantitative analysis within the financial services, digital media, marketing or retail industry. * Commerce Media Domain Expertise: Deep understanding of the commerce or retail media landscape, including audience capabilities, revenue streams, data strategy and commercialization strategy. * Digital Media and Marketing Expertise: Deep understanding of digital media and marketing ecosystem, including various marketing channels, media buy models, audience activation platforms (e.g., CDPs, clean room, DSP integrations). Knowledge of key digital marketing KPIs (ROAS, Impressions, CTR, CPA etc.) * Advanced Analytics Skills: Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing). Experience building audience segments using 1P data, behavioral signals, and transaction data * Strategic Thinking: Ability to connect analytical insights with business strategy, identifying opportunities and risks. * Communication Skills: Exceptional verbal and written communication skills, with the ability to articulate complex analytical concepts and present findings clearly and persuasively to both technical and non-technical audiences. Ability to translate advertiser needs into audience requirements & segmentation needs * Leadership & Influence: Proven ability to lead projects, influence cross-functional teams, and drive strategic initiatives. * Problem-Solving: Strong critical thinking and problem-solving abilities, with meticulous attention to detail. * Technical Proficiency: * Data Platforms: * Experience with large-scale data platforms and tools (e.g., Snowflake). * Experience working with first-party data and privacy-safe data environments (e.g., clean rooms, identity resolution) * Familiarity with audience activation platforms (e.g., CDPs, clean room, DSP integrations) * AI/ML skills: Hands-on experience on building AI/ML targeting solutions like regression and tree-based algorithms * Visualization Tools: Hands-on experience with business intelligence and data visualization tools (e.g., Tableau, Power BI, QlikView). * Preferred Skills: * Experience with programming: proficiency in SQL, Python, or R for data manipulation, statistical analysis, and model development. * Experience with consumer banking products and customer lifecycle analytics. Education: * Required: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline. * Preferred: Master's degree or PhD in a quantitative field, Business Analytics, or an MBA with a strong analytical focus. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. \------------------------------------------------------ ## Job Family Group: Decision Management \------------------------------------------------------ ## Job Family: Specialized Analytics (Data Science/Computational Statistics) \------------------------------------------------------ ## Time Type: Full time \------------------------------------------------------ ## Primary Location: Wilmington Delaware United States \------------------------------------------------------ ## Primary Location Full Time Salary Range: $169,600.00 - $254,400.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. \------------------------------------------------------ ## Most Relevant Skills Please see the requirements listed above. \------------------------------------------------------ ## Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. \------------------------------------------------------ ## Anticipated Posting Close Date: Jun 10, 2026 \------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.
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Pay
## Primary Location Full Time Salary Range: $169,600.00 - $254,400.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Location & working pattern

Wilmington, DE, US; New York, NY, US

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